Notion is creating a new, defensible market by positioning its platform not just for human work, but as a central hub where different third-party AI agents can interact, collaborate, and have their actions tracked. This strategy aims to make Notion the essential infrastructure for an emerging agent-driven workforce.

Notion's core vision has fundamentally changed because of AI. The co-founder explained their goal shifted from building the best tool for humans to *directly perform* work, to creating the best platform for humans to *manage agents* that do the work for them, using the same core primitives like pages and databases.

While ChatGPT and Gemini chase mass adoption, Claude focuses on a "hyper-technical" user base. Features like Artifacts and Skills, while too complex for casual consumers, create a deep moat with engineers and prosumers who are willing to invest time in building complex workflows.

Anthropic employs a bifurcated product strategy. Claude Cowork is designed for simplicity to appeal to a broad, non-technical audience. In contrast, Claude Code is built with extensive customizability (skills, hooks, permissions) to satisfy expert engineers who love to "hack their tools."

A truly "AI-native" product isn't one with AI features tacked on. Its core user experience originates from an AI interaction, like a natural language prompt that generates a structured output. The product is fundamentally built around the capabilities of the underlying models, making AI the primary value driver.

Notion's AI strategy extends beyond the AI team. Every product engineering team is tasked with ensuring their features are usable by both humans and AI agents. This anticipates a future where the majority of traffic will come from agents interfacing with Notion's tools, making agent-compatibility a core requirement.

The best agentic UX isn't a generic chat overlay. Instead, identify where users struggle with complex inputs like formulas or code. Replace these friction points with a native, natural language interface that directly integrates the AI into the core product workflow, making it feel seamless and powerful.

OpenAI explicitly focuses on extreme user segments. Power users are particularly valuable because they push the empirical limits of the technology, effectively performing product discovery on OpenAI's behalf and revealing what's possible long before the core team can.

Since current AI is imperfect, building for novices is risky because they get stuck when the tool fails. The strategic sweet spot is building for experts who can use AI as a powerful but flawed assistant, correcting its mistakes and leveraging its strengths to achieve their goals.